{"schemaVersion":"jobsearcher.job.v1","id":"ce57a4fac7c52f829baf69db","url":"https://jobsearcher.com/jobs/ce57a4fac7c52f829baf69db","canonicalUrl":"https://jobsearcher.com/jobs/ce57a4fac7c52f829baf69db","title":"GCP DATA PLATFORM ENGINEER","description":"Charlotte, NC, United States (On-site)\n Contract (4 months)\n Published 18 hours ago\ntechnical documentation\ndata governance\nApache Gravitino\nProduction Engineering\ncloudera\nmetadata management\nGoogle Cloud Platform (GCP)\nCloud Integration\n\nWe are building a hybrid data platform that bridges an on-premises big data cluster with Google Cloud Platform and we need an engineer who can own this integration end to end\n\nThis role is central to establishing a repeatable production grade pattern for multitenant data platform architecture starting with GCP as the first cloud tenant on an existing onprem Cloudera cluster You will configure the foundational infrastructure service accounts Iceberg table formats metadata catalog integration via Apache Gravitino and role based access controls\n\nKey responsibilities:\n\nConfigure and provision the onpremises Cloudera cluster environment including service account creation role definitions and permission structures for multitenant access\n\nDesign and implement Apache Iceberg table structures optimized for hybrid onpremcloud workloads\n\nIntegrate the Iceberg REST Catalog IRC with Apache Gravitino to establish a unified metadata layer across onprem and GCP environments\n\nEstablish GCP as a production tenant on the existing onprem Cloudera cluster validating the end to end architecture pattern\n\nDefine and enforce data access governance including role based permissions and service account security policies across both environments\n\nDrive the full lifecycle from environment setup through to production deployment\n\nPublish comprehensive documentation and architectural blueprints covering cross platform interoperability best practices vendor recommendations and access patterns for hybrid data lake implementations\n\nRequirements:\n\n5 years of relevant experience in data platform engineering\n\nHands-on experience with Google Cloud Platform GCP\n\nExperience with onpremises Cloudera big data clusters\n\nExperience with Apache Iceberg table format\n\nExperience with Iceberg REST Catalog IRC\n\nExperience with Apache Gravitino for metadata catalog integration\n\nExperience with service account creation and role based access control in hybrid environments\n\nSkills required:\n\nGoogle Cloud Platform Cloudera Apache Iceberg Iceberg REST Catalog Apache Gravitino Service Account Management Role Based Access Control Hybrid Data Platform Architecture MultiTenant Data Platform\n\nExperience: 5 years\n\nThe pay range that the employer in good faith reasonably expects to pay for this position is $28.89/hour - $45.15/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\n\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","company":"Capgemini","rawCompany":"capgemini","city":"Charlotte","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-08-15T09:41:18.243Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GCP DATA PLATFORM ENGINEER","description":"Charlotte, NC, United States (On-site)\n Contract (4 months)\n Published 18 hours ago\ntechnical documentation\ndata governance\nApache Gravitino\nProduction Engineering\ncloudera\nmetadata management\nGoogle Cloud Platform (GCP)\nCloud Integration\n\nWe are building a hybrid data platform that bridges an on-premises big data cluster with Google Cloud Platform and we need an engineer who can own this integration end to end\n\nThis role is central to establishing a repeatable production grade pattern for multitenant data platform architecture starting with GCP as the first cloud tenant on an existing onprem Cloudera cluster You will configure the foundational infrastructure service accounts Iceberg table formats metadata catalog integration via Apache Gravitino and role based access controls\n\nKey responsibilities:\n\nConfigure and provision the onpremises Cloudera cluster environment including service account creation role definitions and permission structures for multitenant access\n\nDesign and implement Apache Iceberg table structures optimized for hybrid onpremcloud workloads\n\nIntegrate the Iceberg REST Catalog IRC with Apache Gravitino to establish a unified metadata layer across onprem and GCP environments\n\nEstablish GCP as a production tenant on the existing onprem Cloudera cluster validating the end to end architecture pattern\n\nDefine and enforce data access governance including role based permissions and service account security policies across both environments\n\nDrive the full lifecycle from environment setup through to production deployment\n\nPublish comprehensive documentation and architectural blueprints covering cross platform interoperability best practices vendor recommendations and access patterns for hybrid data lake implementations\n\nRequirements:\n\n5 years of relevant experience in data platform engineering\n\nHands-on experience with Google Cloud Platform GCP\n\nExperience with onpremises Cloudera big data clusters\n\nExperience with Apache Iceberg table format\n\nExperience with Iceberg REST Catalog IRC\n\nExperience with Apache Gravitino for metadata catalog integration\n\nExperience with service account creation and role based access control in hybrid environments\n\nSkills required:\n\nGoogle Cloud Platform Cloudera Apache Iceberg Iceberg REST Catalog Apache Gravitino Service Account Management Role Based Access Control Hybrid Data Platform Architecture MultiTenant Data Platform\n\nExperience: 5 years\n\nThe pay range that the employer in good faith reasonably expects to pay for this position is $28.89/hour - $45.15/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\n\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","datePosted":"2026-08-15T09:41:18.243Z","dateModified":"2026-08-15T09:41:18.243Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlotte","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ce57a4fac7c52f829baf69db"},"url":"https://jobsearcher.com/jobs/ce57a4fac7c52f829baf69db"}}